arXiv:2601.18065v1 Announce Type: new Abstract: Do vision–language models (VLMs) develop more human-like sensitivity to linguistic concreteness than text-only large language...

arXiv:2601.16527v1 Announce Type: cross Abstract: Multimodal LLMs are powerful but prone to object hallucinations, which describe non-existent entities and harm...

arXiv:2601.16555v1 Announce Type: new Abstract: Fact-checking aims to verify the truthfulness of a claim based on the retrieved evidence. Existing...

arXiv:2601.16853v1 Announce Type: cross Abstract: Large language models (LLMs) have recently shown strong performance on Theory of Mind (ToM) tests,...

arXiv:2601.15297v2 Announce Type: replace Abstract: We introduce AfriEconQA, a specialized benchmark dataset for African economic analysis grounded in a comprehensive...

arXiv:2601.16400v1 Announce Type: new Abstract: Real-world visual question answering (VQA) is often context-dependent: an image-question pair may be under-specified, such...

In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token...

In this tutorial, we build an AI-assisted vulnerability scanner that goes beyond static CVSS scoring and instead learns to prioritize...